System state estimation in health assessment of gearbox

Author

Chen, Hanxin ; Zhou, Yong

Author_Institution

Sch. of Mech. & Electr. Eng., Wuhan Inst. of Technolog, Wuhan, China

fYear

2011

fDate

15-17 April 2011

Firstpage

6202

Lastpage

6206

Abstract

A novel methodology on the gear crack fault detection based on particle filter and Weighted Sum Squared Residual (WSSR) is proposed in this paper. The kurtosis index of the vibration signal from the acceleration sensors mounted on the gearbox along the vertical direction is calculated. The state space model is established. The particle filter is applied to estimate the state value of the system. The algorithm of the fault detection of the gearbox based on WSSR is developed to detect the levels of the gear crack. The results show the applicability and the effectiveness of the proposed method.

Keywords

acceleration; condition monitoring; crack detection; fault diagnosis; gears; particle filtering (numerical methods); sensors; vibrations; WSSR; acceleration sensors; gear crack fault detection; gearbox; health assessment; kurtosis index; particle filter; state space model; system state estimation; vibration signal; weighted sum squared residual; Equations; Fault detection; Gears; Mathematical model; Noise; Particle filters; Vibrations; Fault degradation; Particle Filter; State estimation; Weighted Sum Squared Residual (WSSR);

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5778360

Filename

5778360